Eye Location Based on Gray Projection

Abstract

A Method, to locate eye in image by using gray projection, is presented. We utilize the gray differential projection cure of the facial image to locate eye vertically position and utilize the gray integral projection cure to locate eye horizontal position. The method can apply to not only the upright front side face, but also the upright side face, lift up face and low face. When the face in image is obliqueness, we may use blocks gray projection. So the method could process rotated images. The method is simple and its calculation is less. The experiment results show that eyes can be located quite accurately by using gray projection.

An Eye Location based Head Posture Recognition Method and Its Application in Mouse Operation

“…[7] method is obviously better than the Ref. [9] method and the Ref. [12] method, while the proposed method has more high position accuracy than the Ref.…”

“…8. It is observed from Tab.3 that compared with Refs [7,9,12], the performance of the Ref. [7] method is obviously better than the Ref.…”

“…To illustrate the performance of the proposed method, the template method [7], the projection function method [9], and the appearance method [12] are also implemented, and are compared with proposed method, and Quantitative method is used to verify effectiveness of the proposed method, For performance comparison, a quantitative method is defined as [20]…”

“…Human-Computer Interaction (HCI) has the intensive applications in some fields, such as computer, intelligent robot [1][2][3], mobile phone, consumer appliance [5][6][7], game [8][9][10], information retrieval [22][23], etc. Traditional HCI devices include mouse and keyboard.…”

“…In 2010, Cristiani et al used inverse compositional algorithm (ICA) to build the best fitting active appearance model, then the AAM is used to detect and locate human eye [6]. In 2010, Kasinski et al used haar cascade classifiers augmented with some simple knowledge-based rules to locate human eye [9][10][11]. This method has low computational complexity, but it is easily interfered by eyebrows, face pose and noise.…”